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Heteroatom Doped Multi-Layered Graphene Material for Hydrogen Storage Application

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Graphene 2016年第2期5卷 39-50页

作者： Arjunan Ariharan balasubramanian viswanathan Vaiyapuri Nandhakumar National Centre for Catalysis Research Indian Institute of Technology Madras Chennai India PG & Research Department of Chemistry AVVM Sri Pushpam College Poondi Bharathidasan University Trichy India

A variety of distinctive techniques have been developed to produce graphene sheets and their functionalized subsidiaries or composites. The production of graphene sheets by oxidative exfoliation of graphite can be a suitable route for the preparation of high volumes of graphene derivatives. P-substituted graphene material is developed for its application in hydrogen sorption in room temperature. Phosphorous doped graphene material with multi-layers of graphene shows a nearly ~2.2 wt% hydrogen sorption capacity at 298 K and 100 bar. This value is higher than that for reduced graphene oxide (RGO without phosphorous).

关键词： Hydrogen Storage Carbon Materials Graphene Materials Heteroatom Doped Graphene Phosphorous Doped Graphene Hydrogen Storage Capacity

Nitrogen Doped Graphene as Potential Material for Hydrogen Storage

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Graphene 2017年第2期6卷 41-60页

作者： Arjunan Ariharan balasubramanian viswanathan Vaiyapuri Nandhakumar National Centre for Catalysis Research Indian Institute of Technology Madras Chennai India

The nitrogen doped graphene was synthesized by hydrothermal route utilizing 2-Chloroethylamine hydrochloride as nitrogen precursor in the presence of graphene oxide (GO). Nitrogen-doped graphene material is developed for its application in hydrogen storage at room temperature. Nitrogen doped graphene layered material shows ~1.5 wt% hydrogen storage capacity achieved at room temperature and 90 bar pressure.

关键词： Carbon Materials Hydrogen Storage Graphene Heteroatom Doped Graphene Nitrogen Doped Graphene Hydrogen Storage Capacity The Storage Capacity Observed Is Comparable to Other Carbon Materials

Effects of Enteromorpha prolifera polysaccharides on growth performance,intestinal barrier function and cecal microbiota in yellow-feathered broilers under heat stress

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Journal of Animal Science and Biotechnology 2024年第1期15卷 344-361页

作者： Wenchao Liu Huimei Liu Yaoyao Wang Zhongxiang Zhao Balamuralikrishnan balasubramanian Rajesh Jha Department of Animal Science College of Coastal Agricultural SciencesGuangdong Ocean UniversityZhanjiangGuangdong 524088People’s Republic of China Department of Food Science and Biotechnology College of Life ScienceSejong UniversitySeoul 05006South Korea Department of Human Nutrition Food and Animal SciencesCollege of Tropical Agriculture and Human ResourcesUniversity of Hawaii at ManoaHonoluluHI 96822USA

Background Global warming leading to heat stress(HS)is becoming a major challenge for broiler *** study aimed to explore the protective effects of seaweed(Enteromorpha prolifera)polysaccharides(EPS)on the intestinal barrier function,microbial ecology,and performance of broilers under HS.A total of 144 yellow-feathered broilers(male,56 days old)with 682.59±7.38 g were randomly assigned to 3 groups:1)TN(thermal neutral zone,23.6±1.8℃),2)HS(heat stress,33.2±1.5℃ for 10 h/d),and 3)HSE(HS+0.1%EPS).Each group contained 6 replicates with 8 broilers per *** study was conducted for 4 weeks;feed intake and body weights were measured at the end of weeks 2 and *** the end of the feeding trial,small intestine samples were collected for histomorphology,antioxidant,secretory immunoglobulin A(s Ig A)content,apoptosis,gene and protein expression analysis;cecal contents were also collected for microbiota analysis based on 16S r DNA *** Dietary EPS promoted the average daily gain(ADG)of broilers during 3–4 weeks of HS(P<0.05).At the end of HS on broilers,the activity of total superoxide dismutase(T-SOD),glutathione S-transferase(GST),and the content of s Ig A in jejunum were improved by EPS supplementation(P<0.05).Besides,dietary EPS reduced the epithelial cell apoptosis of jejunum and ileum in heat-stressed broilers(P<0.05).Addition of EPS in HS group broilers'diet upregulated the relative m RNA expression of Occludin,ZO-1,γ-GCLc and IL-10 of the jejunum(P<0.05),whereas downregulated the relative m RNA expression of NF-κB p65,TNF-αand IL-1βof the jejunum(P<0.05).Dietary EPS increased the protein expression of Occludin and ZO-1,whereas it reduced the protein expression of NF-κB p65 and MLCK(P<0.01)and tended to decrease the protein expression of TNF-α(P=0.094)in heat-stressed ***,the proportions of Bacteroides and Oscillospira among the three groups were positively associated with jejunal apoptosis and pro-inflammatory cytokine ex

关键词： Broilers Cecal microbiota Heat stress Intestinal barrier function Seaweed polysaccharides

Iron and Nitrogen containing Carbon Catalysts with Enhanced Activity for Oxygen Reduction in Proton Exchange Membrane Fuel Cells

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Open Journal of Physical Chemistry 2011年第1期1卷 11-22页

作者： Chitturi Venkateswara Rao Lingam Hima Kumar balasubramanian viswanathan National Centre for Catalysis Research Department of Chemistry Indian Institute of Technology Madras

Iron and nitrogen containing carbon catalysts were prepared by the pyrolysis of iron (III) tetramethoxyphenylporphyrin complex adsorbed on as-received as well as nitric acid treated carbon black and employed them as oxygen reduction electrodes for hydrogen-oxygen PEM fuel cells. The influence of carbon surface functional groups on the dispersion of active species and electrocatalytic performance is investigated using electron microscopic and electrochemical techniques. The existence of quinone functional groups on the nitric acid treated carbon was evident from X-ray photoelectron spectroscopy and cyclic voltammetry. Rotating disk electrode voltammetry results affirmed the good electrocatalytic activity and stability of pyrolyzed macrocyclic complex adsorbed on nitric acid treated carbon compared to that of as-received carbon. This is ascribed to the greater number of Fe/N active species as well as good dispersion of metal clusters over nitric acid treated carbon support. Fuel cell tests depicted the comparable performance of pyrolyzed complex adsorbed on nitric acid treated carbon with commercial Pt/C at 353 K. Durability measurements performed under fuel cell operating conditions for 120 h indicate the good stability of the catalysts.

关键词： Iron-Based Clusters Non-Precious Catalysts Oxygen Reduction PEM fuel Cells

A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM

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Computers, Materials & Continua 2024年第3期78卷 3089-3127页

作者： Navaneetha Krishnan Muthunambu Senthil Prabakaran balasubramanian Prabhu Kavin Kishore Senthil Siruvangur Kavitha Chinnadurai Jehad Ali Department of Computer Applications Karpagam College of EngineeringCoimbatore641032India Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Data Science and Business Systems College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyJeppiaar NagarRajiv Gandhi SalaiChennai600119India Department of AI Convergence Network Ajou UniversitySuwon16499Korea

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the ***,this development has expanded the potential targets that hackers might *** adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or *** identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious *** research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)*** proposed model can identify various types of cyberattacks,including conventional and distinctive *** networks,a specific kind of feedforward neural networks,possess an intrinsic memory *** Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended *** such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual *** are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection *** model utilises Recurrent Neural Networks,specifically exploiting LSTM *** proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

关键词： Cybersecurity intrusion detection machine learning leveraging long short-term memory(LLSTM) CICIDS2019 dataset innovative cyberattacks

Accelerated intermetallic phase amorphization in a Mg-based high-entropy alloy powder

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Journal of Magnesium and Alloys 2024年第5期12卷 1792-1798页

作者： Prince Sharma Purvam Mehulkumar Gandhi Kerri-Lee Chintersingh Mirko Schoenitz Edward L.Dreizin Sz-Chian Liou Ganesh balasubramanian Institute for Functional Materials&Devices Lehigh UniversityBethlehemPA 18015USA Center of Materials for Advanced Energetics New Jersey Institute of TechnologyNewarkNJ 07102USA

We describe a novel mechanism for the synthesis of a stable high-entropy alloy powder from an otherwise immiscible Mg-Ti rich metallic mixture by employing high-energy mechanical *** presented methodology expedites the synthesis of amorphous alloy powder by strategically injecting entropic disorder through the inclusion of multi-principal elements in the alloy *** from first principles and materials theory corroborate the results from microscopic characterizations that reveal a transition of the amorphous phase from a precursor intermetallic *** transformation,characterized by the emergence of antisite disorder,lattice expansion,and the presence of nanograin boundaries,signifies a departure from the precursor intermetallic ***,this phase transformation is accelerated by the presence of multiple principal elements that induce severe lattice distortion and a higher configurational *** atomic size mismatch of the dissimilar elements present in the alloy produces a stable amorphous phase that resists reverting to an ordered lattice even on annealing.

关键词： High-entropy alloy High-energy milling Antisite disorder Amorphous Intermetallic

Spatiotemporal detection of land use/land cover changes and land surface temperature using Landsat and MODIS data across the coastal Kanyakumari district, India

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Geodesy and Geodynamics 2023年第2期14卷 172-181页

作者： S.Chrisben Sam Gurugnanam balasubramanian Centre for Applied Geology The Gandhigram Rural Institute Deemed to Be UniversityDindigulTamil NaduIndia

This study assesses the changes in land use/land cover(LULC) and land surface temperature(LST) to identify their impacts from 2000 to 2020 along the coast of Kanyakumari district, India using remote sensing techniques. Landsat images are used to estimate the LULC changes and the MODIS data for *** Maximum Likelihood Classification(MLC) method is used, and the LULC is classified into six categories: Agriculture Land, Barren Land, Salt Pan, Sandy Beach, Settlement, and Waterbody. Within the two decades of the present change detection study, upheave in the Settlement area of 49.89% is noticed, and the Agriculture Land is exploited by 20.09%. Salt Pan emits a high LST of 31.57°C, and the Waterbodies are noticed with a low LST of 28.9°C. However, the overall rate of LST decreased by 0.56°C during this period. This study will help policymakers make appropriate planning and management to overcome the impact of LULC and LST in the forthcoming years.

关键词： Land use/land cover Land surface temperature Landsat MODIS and remote sensing

Fault Recognition of Multilevel Inverter Using Artificial Neural Network Approach

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Intelligent Automation & Soft Computing 2023年第5期36卷 1331-1347页

作者： Aravind Athimoolam Karthik balasubramanian Research Scholar Faculty of Electrical EngineeringAnna UniversityChennai600025India Associate Professor Department of EEESona College of TechnologySalem636005India

This paper focuses on the development of a diagnostic tool for detect-ing insulated gate bipolar transistor power electronic switchﬂaws caused by both open and short circuit faults in multi-level inverter time-frequency output voltage speciﬁ***-resolution laboratory virtual instrument engineering work-bench software testing tool with a sample rate data collection system,as well as specialized signal processing and soft computing technologies,are used in this proposed *** a single-phase cascaded H-bridge multilevel inverter,simu-lation and experimental investigations of both open and short issues of the insu-lated gate bipolar transistor components are performed *** all conceivable switch issues,the output voltage signals are evaluated for different modulation index *** fourier transform and discrete wavelet transform methods are used to investigate the frequency domain properties of output voltage *** the artiﬁcial neural network,the back propagation training technique was employed,and the generated neural parameter values were used in the Laboratory Virtual Instrumentation Engineering Workbench real-time fault diagnosis model.

关键词： Back propagation learning DWT cascaded H-bridge MLI FFT sinusoidal PWM THD

Leveraging Readability and Sentiment in Spam Review Filtering Using Transformer Models

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Computer Systems Science & Engineering 2023年第5期45卷 1439-1454页

作者： Sujithra Kanmani Surendiran balasubramanian Department of Computer Science and Engineering National Institute of Technology PuducherryKaraikalIndia

Online reviews significantly influence decision-making in many aspects of *** integrity of internet evaluations is crucial for both consumers and *** concern necessitates the development of effective fake review detection *** goal of this study is to identify fraudulent text reviews.A comparison is made on shill reviews *** reviews over sentiment and readability features using semi-supervised language processing methods with a labeled and balanced Deceptive Opinion *** analyze textual features accessible in internet reviews by merging sentiment mining approaches with ***,the research improves fake review screening by using various transformer models such as Bidirectional Encoder Representation from Transformers(BERT),Robustly Optimized BERT(Roberta),XLNET(Transformer-XL)and XLM-Roberta(Cross-lingual Language model–Roberta).This proposed research extracts and classifies features from product reviews to increase the effectiveness of review *** evidenced by the investigation,the application of transformer models improves the performance of spam review filtering when related to existing machine learning and deep learning models.

关键词： Fraudulent sentiment readability BERT XLNET roberta XLMroberta